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. Familiarity with frameworks such as TensorFlow and Keras, as well as libraries including Scikit-learn, NumPy, and pandas; - Experience with machine learning models such as Extreme Learning Machine (ELM
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potential in preclinical experimental models. Requirements: Applicants must have obtained their PhD within the last five years and have experience in the study of non-conventional lymphocyte populations, as
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staff position within a Research Infrastructure? No Offer Description The project aims to develop and validate advanced Artificial Intelligence models for automated segmentation and prognostic assessment
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, supporting monitoring and impact evaluation of the PCJ Basin Plan, with emphasis on environmental education and water loss control in supply systems. Application: send documents in one PDF to nups@eesc.usp.br
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optimization, velocity modeling, seismic characterization, geological CO2 storage. Abstract: This research project aims to improve the FWI workflow in order to obtain accurate results even under limited initial
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preparation for use in AI models; - Experience with explainability techniques for Machine Learning models; - Desirable experience with system modernization. To apply, send an email with the subject “Inscrição
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position within a Research Infrastructure? No Offer Description One post-doctoral position is available within the scope of the project “Modeling of monogenic diseases for pathophysiological studies and
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Area, and coordinated by Professor Alfeu Joãozinho Sguarezi Filho. The research is part of an international research network and involves geospatial analysis, optimization and modeling, as
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erectile dysfunction and spermatogenesis. The project will include studies in humans, animal models, and in vitro approaches. Requirements: • Degree in Biomedicine, Biology, Biomedical Sciences, Medicine
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sciences, engineering, or a related field; • Strong publication record; • Experience in sustainability assessment and quantitative modeling; • Professional proficiency in English, Portuguese, and/or Spanish